This paper proposes a fault diagnosis algorithm based on ambient signals and graph convolutional networks (GCN), approaching from two perspectives, broadening the input information sources and ...

In this work, we propose a novel Channel-wise Topology Refinement Graph Convolution (CTR-GC) to dynamically learn different topologies and effectively aggregate joint features in different channels ...

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IGN allotropes exhibit nonmonotonic bulk and linear compressibilities before their structures irreversibly transform into new configurations under large hydrostatic compression. The maximum bulk ...

State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China ...

MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the ...

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